Knowledge Graphs Start With Resolved Nodes

The same entity often lives in five systems under three different names. Import that straight into a graph and you get duplicate nodes standing in for one real thing. Zingg resolves entities first, on your own infrastructure.

Resolved Nodes, Not Duplicate Records
Zingg merges fragmented records into one entity before it becomes a node in your graph.
Relationships That Don't Multiply Errors
An agent traversing unresolved nodes acts on each duplicate independently. Resolved entities stop that before it starts.
Runs on Your Infrastructure
Zingg runs directly on Spark or Snowflake, so your data never leaves your premises.

Garbage Nodes In, Garbage Graph Out

A knowledge graph built on unresolved data doesn't fail loudly. It quietly represents "Acme Inc" and "Acme Incorporated" as two unrelated nodes, splitting the relationships that should connect them. Entity resolution is what turns a graph of database rows into a graph of real-world entities.

Where Resolved Entities Feed the Graph

Graph Databases
Resolved entities loaded as clean nodes, not raw rows
RAG & AI Retrieval
Agents traverse real relationships, not duplicate branches
Any Entity Type
Customers, suppliers, patients, citizens, or products

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